AI Control Engineer

· M.Sc.in Mechatronics/Autonomous Systems/Robotics/Mechanical Engineering/Aeronautical Engineering, or a closely related discipline.
· Proven experience in data-driven algorithm development, with an advantage for experience on real-world time-series data.
· Strong foundation in Control Theory
· Solid knowledge in at least two of the following areas:
o Neural Networks Architectures (RNN/CNN/PINN),
o Hyperparameters Optimization,
o Feature Engineering,
o Optimization Methods,
o Reinforcement Learning
o Real-Time Learning/Estimation
· Proficiency in at least two programming environments: C/C++, Python, MATLAB / Simulink.
· Ability to design algorithms from the ground up, as well as effectively utilize modern open-source ML and control libraries.
· Strong analytical and problem-solving skills, excellent communication abilities, effective collaboration with colleagues and customers, independence, and rapid learning capability.
· Fluent in English, both written and spoken.